254 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IBE-CNR" PhD positions in United Kingdom
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Field
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understanding of the current topics in the field. We are particularly interested in PhD studentship applications that seek to address: Development of new methodologies for the evaluation of Shoulder/Upper Limb
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the operational life of battery-powered devices and reducing the environmental impact of large-scale deployments. Advancements in this area support the development of sustainable technologies across various
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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years. Award holders will also benefit from a comprehensive professional development, training and mentoring programme delivered through the University of Westminster Graduate School. The School is
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chemistry, flavour analysis, rheology, sensory science, and data-driven modelling, alongside structured development in responsible AI use, industry-relevant decision making, and translational research
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Recent advances in artificial intelligence (AI) have fuelled the idea of building “AI scientists”, i.e., systems that can perform part or all of the research process on their own. The development
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the potential to progress to a DPhil (PhD) in population health. The postholder will support day-to-day operations and contribute to the programme’s ongoing development, taking lead responsibility for several
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development opportunities, placements, additional funding and the London and the East of England Hub. CDA 1- Mapping Creative R&D in Art–Technology Ecosystems Creative Research & Development (R&D) is an
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and prior research training. All students undertake a Development Needs Analysis (DNA) at the point of nomination and throughout the PhD to ensure appropriate research and professional development
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning